Dynamic 3D Scene

Dynamic 3D scene representation aims to capture and render moving 3D scenes from 2D images or videos, enabling novel view synthesis and manipulation. Current research heavily utilizes Gaussian splatting and neural radiance fields (NeRFs), often incorporating techniques like 4D representations and efficient compression methods to improve speed and storage efficiency. These advancements are improving the realism and fidelity of dynamic scene reconstruction, with applications ranging from virtual and augmented reality to robotics and autonomous navigation. The focus is on creating more efficient and robust models capable of handling complex scenes and diverse motions.